Example#
To be able to run the programm, import all the needed packages first.#
from tabulate import tabulate
import sqlite3
import csv
import geopandas as geopandas
import numpy as np
import pandas as pd
import os
import platform
import sqlite3
import gdal
from gdal import ogr
from shapely.geometry import Point
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 4
2 import sqlite3
3 import csv
----> 4 import geopandas as geopandas
5 import numpy as np
6 import pandas as pd
ModuleNotFoundError: No module named 'geopandas'
In this second step, the table plants in the Pflanzendaten database is created.#
connection = sqlite3.connect("Pflanzendaten.db")
cursor = connection.cursor()
sql_command = """
CREATE TABLE IF NOT EXISTS plants (
species VARCHAR(255),
name VARCHAR(255),
nativ BOOLEAN,
endangered VARCHAR(255),
habitat VARCHAR(255),
waterdepthmin INTEGER(255),
waterdepthmax INTEGER(255),
rootdepth INTEGER(255),
groundwatertablechange VARCHAR(255),
floodheightmax INTEGER(255),
floodloss REAL(255),
floodduration INTEGER(255),
PRIMARY KEY (species, name, habitat)
);"""
cursor.execute(sql_command)
<sqlite3.Cursor at 0x20897235490>
The inputquestion() function is used to insert data into the table#
def inputquestion():
"""function that lets the user put data into the database
the function provides 2 options for data input, if option 1 is chosen via console input "1", the user can provide the name
of a csv file. if option 2 is chosen, the user can add a single row via sql command. If neither of those two options is
chosen, the function will print a string in the python console
Returns:
string in console if none of the two options above is chosen
"""
print('Enter 1 to input data from csv file\n Enter 2 to input data via sql command')
src = int(input('Enter here:'))
if src == 1:
with open(input('enter csv-filename')+'.csv') as csvfile:
csv_reader_object = csv.reader(csvfile, delimiter=',')
with sqlite3.connect("Pflanzendaten.db") as connection:
cursor = connection.cursor()
sql_command = """
INSERT INTO plants (species,name,nativ,endangered,habitat,waterdepthmin,waterdepthmax,rootdepth,groundwatertablechange,floodheightmax,floodloss,floodduration)
VALUES (:species, :name, :nativ, :endangered, :habitat, :waterdepthmin, :waterdepthmax, :rootdepth, :groundwatertablechange, :floodheightmax, :floodloss, :floodduration)
"""
cursor.executemany(sql_command, csv_reader_object)
elif src == 2:
connection = sqlite3.connect("Pflanzendaten.db")
cursor = connection.cursor()
sql_command = (input("""Insert sql command"""))
cursor.execute(sql_command)
cursor.execute("COMMIT")
else:
print('only able to import data to table using csv file or sql command')
search_db_via_query() is allowing the usage of querys to search in the database for information#
def search_db_via_query(query):
"""Function that checks database for matching entries with user input.
The function takes the user input and adds it to the used sql command to search for matching entries in the provided database
if there are matching entries these will be printed in the python console
Args:
query (string): habitat name in sql, provided by the user
Returns:
table entries matching with user input
"""
connection = sqlite3.connect("Pflanzendaten.db")
cursor = connection.cursor()
cursor.execute("SELECT * FROM plants WHERE " + query)
content = cursor.fetchall()
print(tabulate((content), headers=['species', 'name', 'nativ', 'endangered', 'habitat', 'waterdepthmin', 'waterdepthmax', 'rootdepth', 'groundwatertablechange', 'floodheightmax', 'floodloss', 'floodduration']))
print('Status 1 equals nativ')
connection.close()
To fill the table with data, run inputquestion() and select which option you want to chose. Note: the name of the provided csv file is “plantdata”, if you want to try inserting data by using an sql command, just type it directly without using quotation marks.#
inputquestion()
Enter 1 to input data from csv file
Enter 2 to input data via sql command
Enter here:3
only able to import data to table using csv file or sql command
After successfully inserting data into the database, you can search for plants by running search_db_via_query() and providing it with an habitat name (Alpenvorland, Niederrheinisches Tiefland or Oberrheinisches Tiefland). Note: unfortunately, due to jupyter notebook the output is overlapping and as a result looks a bit rough.#
habitat = input('Enter name of habitat\n')
query = "habitat = '" + habitat + "'"
search_db_via_query(query)
Enter name of habitat
Oberrheinisches Tiefland
species name nativ endangered habitat waterdepthmin waterdepthmax rootdepth groundwatertablechange floodheightmax floodloss floodduration
--------------------------------------------- ----------------------------- ------- ------------------- ------------------------ --------------- --------------- ----------- ------------------------ ---------------- ----------- ---------------
Groenlandia densa (L.) Fourr. Fischkraut 1 strongly endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Potamogeto pectinatus Kamm Laichkraut 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Potamogeton perfoliatus Durchwachsenes Laichkraut 1 pre warning Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Hippuris vulgaris Gewöhnlicher Tannenwedel 1 pre warning Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Epilobium dodonaei Rosmarin Weidenroeschen 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Scrophularia canina Hunds Braunwurz 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Calamagrostis pseudophragmites Ufer Reitgras 1 strongly endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Gypsophila repens Kriechendes Gipskraut 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Salix nigricans Schwarz Weide 1 not listed Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Hippophae rhamnoides subsp. fluviatilis Soest Fluss Sanddorn 1 endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData Nodata NoData
Ulmus minor Feld Ulme 1 not endangered Oberrheinisches Tiefland NoData NoData NoData 50-280 270 NoData 90
Quercus robur Stiel Eiche 1 not endangered Oberrheinisches Tiefland NoData 70 NoData 30-150 349 NoData 113
Alnus glutinosa Schwarzerle 1 not endangered Oberrheinisches Tiefland NoData 70 NoData 0-80 312 50.0 29-45
Populus nigra Schwarzpappel 1 not endangered Oberrheinisches Tiefland NoData NoData NoData 50-280 160 NoData NoData
Populus alba Silberpappel 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 180 NoData NoData
Salix purpurea Purpur Weide 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 210 NoData 170
Salix alba Silber Weide 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 350 NoData 169
Salix eleagnos Lavendel Weide 1 pre warning Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Fraxinus excelsior Gewoehnliche Esche 1 not endangered Oberrheinisches Tiefland NoData 70 NoData NoData 340 25.0 45
Rhamnus cathartica Purgier Kreuzdorn 1 not endagnered Oberrheinisches Tiefland NoData NoData NoData NoData 190-200 50.0 NoData
pinus sylvestris Gewoehnliche Kiefer 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
cornus sanguinea Blutroter Hartriegel 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 200 50.0 120
sambucus nigra Schwarzer Holunder 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 250 >50 NoData
prunus spinosa Schlehe 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 250 50.0 NoData
Euonymus europaeus Europaeisches Pfaffenhuetchen 1 not endangered Oberrheinisches Tiefland NoData NoData NoData NoData 190 NoData 117
Status 1 equals nativ
Defining the class “Plant” is enabling the usage of the habitat_search() function#
class Plant:
"""
"""
def __init__(self, species, name, nativ, habitat, endangered, waterdepthmin, waterdepthmax, rootdepth, groundwatertablechange, floodheightmax, floodloss, flooddurationmax):
"""
Args:
species (str): scientific plant name
name (str): common german plant name
nativ (bool): equals 1 if the plant is nativ, 0 if its not
habitat (str): habit name of the plant
endangered (str): information about the endangerment status of the plant
waterdepthmin (int): minimal required water depth
waterdepthmax (int): maximum depth to groundwater
rootdepth (int): average root depth
groundwatertablechange (varchar): maximum change in groundwater table that the plant can survive
floodheightmax (int): maximum flood height the plant can survive
floodloss (float): losses during maximum flood height and flooding days that occured in plant population
flooddurationmax (int): maximum number of flooding days the plant can survive
"""
self.species = species
self.name_german = name
self.status = nativ
self.is_endangered = endangered
self.habitat_in_germany = habitat
self.minimum_waterdepth = waterdepthmin
self.maximum_waterdepth = waterdepthmax
self.average_root_depth = rootdepth
self.change_of_groundwatertable = groundwatertablechange
self.critical_flood_height = floodheightmax
self.plant_mortality_during_critial_flooding = floodloss
self.critical_flood_duration = flooddurationmax
def print_habitat(self):
"""
prints the plant parameters as string in console
Returns:
String in console
"""
print('\nscientific name:\n{0}\ncommon german name:\n{1}\nstatus:\n{2}\nendangered?:\n{3}'.format(self.species,
str(self.name_german),
str(self.status),
str(self.habitat_in_germany),
str(self.is_endangered),
str(self.minimum_waterdepth),
str(self.maximum_waterdepth),
str(self.average_root_depth),
str(self.change_of_groundwatertable),
str(self.critical_flood_height),
str(self.plant_mortality_during_critial_flooding),
str(self.critical_flood_duration)))
habitat_search() is used to search the csv file for data#
def habitat_search(column, entry):
"""Function searches in csv file for vegetation matching the user input.
The function uses the console input to search for matching entries in the provided csv file,
if there are matching entries the function print_habitat gets called to print the information in the python console.
Args:
column(int): column in the .csv file
entry(int): entry in the .csv file
Returns:
String in console
"""
df = pd.read_csv('plantdata.csv', encoding='unicode_escape')
if platform.system() == 'Linux':
df = pd.read_csv('plantdata.csv')
else:
df = pd.read_csv('plantdata.csv', encoding='unicode_escape')
df1 = df.dropna()
def search(column, entry, df):
df2 = df1.to_numpy()
column = df[column]
for i in range(len(column)):
if column[i] == entry:
plant = Plant(df2[i, 0], df2[i, 1], df2[i, 2], df2[i, 3], df2[i, 4], df2[i, 5], df2[i, 6], df2[i, 7], df2[i, 8], df2[i, 9], df2[i, 10], df2[11])
plant.print_habitat()
else:
print('')
search(column, entry, df1)
search_by_habitat() is asking for the user input and calls habitat_search.#
def search_by_habitat():
"""Function that enables the user to provide habitat input in console.
The function asks the user to provide the habitat name he wants to search for,
afterwards the input is given to the habitat_search() function and habitat_search() gets called.
Returns:
String in console to let the user know what the Status entries mean
"""
habitat = input('Enter name of habitat\n')
habitat_search('habitat', habitat)
print('Status 1 equals nativ')
To search for vegetation in the csv file, run search_by_habitat() and provide it with a habitat name (Alpenvorland, Niederrheinisches Tiefland or Oberrheinisches Tiefland).#
search_by_habitat()
Enter name of habitat
Niederrheinisches Tiefland
scientific name:
Betula pendula
common german name:
Haenge Birke
status:
1
endangered?:
not endangered
scientific name:
Quercus robur
common german name:
Stieleiche
status:
1
endangered?:
not endangered
scientific name:
Betula pubescens s.str.
common german name:
Moor Birke
status:
1
endangered?:
not endangered
scientific name:
Alnus glutinosa
common german name:
Schwarzerle
status:
1
endangered?:
not endangered
scientific name:
Fraxinus excelsior
common german name:
Gemeine Esche
status:
1
endangered?:
not endangered
scientific name:
Frangula alnus
common german name:
Echter Faulbaum
status:
1
endangered?:
not endangered
scientific name:
Ribes rubrum
common german name:
Rote Johannisbeere
status:
1
endangered?:
not endangered
scientific name:
Ribes nigrum
common german name:
Schwarze Johannisbeere
status:
1
endangered?:
not endangered
scientific name:
Rubus caesius
common german name:
Kratzbeere
status:
1
endangered?:
not endangered
scientific name:
Populus nigra
common german name:
Schwarzpappel
status:
1
endangered?:
edangered
scientific name:
Viburnum opulus
common german name:
Gewoehnlicher Schneeball
status:
1
endangered?:
not endangered
scientific name:
Prunus padus
common german name:
Gewoehnliche Traubenkirsche
status:
1
endangered?:
not endangered
scientific name:
Ulmus laevis
common german name:
Flatterulme
status:
1
endangered?:
pre warning
scientific name:
Salix fragilis
common german name:
Bruchweide
status:
1
endangered?:
not endangered
scientific name:
Salix viminalis
common german name:
Korbweide
status:
1
endangered?:
not endangered
scientific name:
Salix aurita
common german name:
Ohr Weide
status:
1
endangered?:
not endangered
scientific name:
Salix purpurea
common german name:
Purpur Weide
status:
1
endangered?:
not endangered
scientific name:
Ribes uva-crispa
common german name:
Stachelbeere
status:
1
endangered?:
not endangered
scientific name:
Ulmus minor
common german name:
Feldulme
status:
1
endangered?:
not endangered
scientific name:
Salix cinerea
common german name:
Grau Weide
status:
1
endangered?:
not endangered
Status 1 equals nativ
point_in_bound() checks if the provided coordinates are inside of the used shapefile#
def point_in_bound(filename, x, y, area):
"""Function that checks if the coordinates provided by the user are in bound of the shapefile polygon.
If the provided coordinates are out of bounds, a string will be printed in the console to let the user know,
if they are matching one of the shapefiles, search_db_via_query() gets called.
Args:
filename (str): name of the shapefile
x (float): x - coordinate
y (float): y - coordinate
area (str): name of the study area
Returns:
string to console
"""
file_shape = geopandas.read_file(filename)
polygon = list(file_shape.geometry)[0]
point = Point(x, y)
if polygon.contains(point):
query = "habitat = '" + area + "'"
search_db_via_query(query)
print('Enter 1 if you want elevation data for the coordinates\nEnter 2 if you dont want elevation data')
src = int(input('Enter here:'))
if src == 1:
elevation(x, y)
elif src == 2:
print('done')
else:
print('\ncoordinates out of \n' + area + '\nplease check provided shapefile for suitable coordinates\n')
The elevation() function transforms the coordinates into rasterdata to provide information about the elevation#
def elevation(x, y):
"""Function used to get information about elevation at the provided coordinates.
Args:
x (float): x - coordinate
y (float): y - coordinate
Returns:
elevation data for coordinate input in console
"""
file = os.path.abspath("..") + "\Shape\Shape.vrt"
layer = gdal.Open(file)
gt = layer.GetGeoTransform()
rasterx = int((x - gt[0]) / gt[1])
rastery = int((y - gt[3]) / gt[5])
print('elevation =', layer.GetRasterBand(1).ReadAsArray(rasterx, rastery, 1, 1)[0][0], 'm above sea level')
search_by_coordinates() enables the user to provide coordinates and transforms them into float values, afterwards point_in_bound() gets called for all 3 shapefiles#
def search_by_coordinates():
"""Function that lets the user input coordinates.
After asking the user to input x and y coordinates, point_in_bound(..) gets called for the 3 provided shapefiles.
Afterwards the user gets asked if he wants to receive elevation data for the input coordinates.
Returns:
"""
print('CRS used is EPSG:3857 \n for reference check https://epsg.io/3857 ')
x = float(input('Enter x coordinate\n'))
y = float(input('Enter y coordinate\n'))
point_in_bound(os.path.abspath("..")+"\Shape\prealpinebavaria.shp", x, y, 'Alpenvorland')
point_in_bound(os.path.abspath("..")+"\Shape\oberrheinmaintiefland.shp", x, y, 'Oberrheinisches Tiefland')
point_in_bound(os.path.abspath("..")+"\Shape\Tiefland.shp", x, y, 'Niederrheinisches Tiefland')
To actually search for vegetation by coordinates, run search_by_coordinates() and enter x and y coordinates. Note: as the function will tell you in the beginning, you need to use coordinates from the 3857 CRS. The link provided will lead you to a website where you can copy them.#
search_by_coordinates()
CRS used is EPSG:3857
for reference check https://epsg.io/3857
Enter x coordinate
724011.531917
Enter y coordinate
6704444.624949
coordinates out of
Alpenvorland
please check provided shapefile for suitable coordinates
coordinates out of
Oberrheinisches Tiefland
please check provided shapefile for suitable coordinates
species name nativ endangered habitat waterdepthmin waterdepthmax rootdepth groundwatertablechange floodheightmax floodloss floodduration
----------------------- --------------------------- ------- -------------- -------------------------- --------------- --------------- ----------- ------------------------ ---------------- ----------- ---------------
Betula pendula Haenge Birke 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 40-130 240 25.0 NoData
Quercus robur Stieleiche 1 not endangered Niederrheinisches Tiefland NoData 70 NoData 30-150 349 NoData 113
Betula pubescens s.str. Moor Birke 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 0-30 20 NoData 150
Alnus glutinosa Schwarzerle 1 not endangered Niederrheinisches Tiefland NoData 70 NoData 0-80 312 50.0 29-45
Fraxinus excelsior Gemeine Esche 1 not endangered Niederrheinisches Tiefland NoData 70 NoData NoData 340 25.0 45
Frangula alnus Echter Faulbaum 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 10-30 50 NoData 270
Ribes rubrum Rote Johannisbeere 1 not endangered Niederrheinisches Tiefland NoData NoData NoData NoData NoData NoData 170
Ribes nigrum Schwarze Johannisbeere 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 10-30 50 NoData 90
Rubus caesius Kratzbeere 1 not endangered Niederrheinisches Tiefland NoData NoData NoData NoData 300 NoData 120
Populus nigra Schwarzpappel 1 edangered Niederrheinisches Tiefland NoData NoData NoData 50-280 160 NoData NoData
Viburnum opulus Gewoehnlicher Schneeball 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 0-40 200 25.0 120
Prunus padus Gewoehnliche Traubenkirsche 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 10-60 NoData NoData NoData
Ulmus laevis Flatterulme 1 pre warning Niederrheinisches Tiefland NoData NoData NoData 50-280 400 NoData 90
Salix fragilis Bruchweide 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 50-280 350 NoData 170
Salix viminalis Korbweide 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 50-280 >250 NoData 170
Salix aurita Ohr Weide 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 0-20 NoData NoData NoData
Salix purpurea Purpur Weide 1 not endangered Niederrheinisches Tiefland NoData NoData NoData NoData 350 NoData 170
Ribes uva-crispa Stachelbeere 1 not endangered Niederrheinisches Tiefland NoData NoData NoData NoData NoData NoData NoData
Ulmus minor Feldulme 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 50-280 270 NoData 90
Salix cinerea Grau Weide 1 not endangered Niederrheinisches Tiefland NoData NoData NoData 10cm-30cm 200 NoData 270
Status 1 equals nativ
Enter 1 if you want elevation data for the coordinates
Enter 2 if you dont want elevation data
Enter here:1
elevation = 33 m above sea level
The function question() provides the option for an easy usage of the tool, asking directly which search option you want to choose#
def question():
"""Function to let the user decide if he wants to search by habitat in csv file, search by habitat in database or search by coordinates.
The function prints a string in the console to ask the user if he wants to search by putting in coordinates or the name of the habitat,
furthermore it is asking the user if he wants to search by the name of the habitat in the provided csv file or database.
If option 1 is chosen, user is asked for an habitat name before calling search_db_via_query()
Args:
1 (int): calls search_db_via_query()
2 (int): calls search_by_coordinates()
3 (int): calls search_by_habitat()
Returns:
text string 'no data' if the input is anything else then 1, 2 or 3
"""
print('Enter 1 to search database by habitat with detailed information\nEnter 2 to search database by coordinates \nEnter 3 to search by habitat in csv file for a quick overview without detail')
print('habitat search options so far:\n Alpenvorland, Niederrheinisches Tiefland, Oberrheinisches Tiefland')
src = int(input('Enter here:'))
if src == 1:
habitat = input('Enter name of habitat\n')
query = "habitat = '" + habitat + "'"
search_db_via_query(query)
elif src == 2:
search_by_coordinates()
elif src == 3:
search_by_habitat()
else:
print('no data')
Run question() if you want to choose for one of the search functions.#
question()
Enter 1 to search database by habitat with detailed information
Enter 2 to search database by coordinates
Enter 3 to search by habitat in csv file for a quick overview without detail
habitat search options so far:
Alpenvorland, Niederrheinisches Tiefland, Oberrheinisches Tiefland
Enter here:2
CRS used is EPSG:3857
for reference check https://epsg.io/3857
Enter x coordinate
1242560.331804
Enter y coordinate
6056258.625091
species name nativ endangered habitat waterdepthmin waterdepthmax rootdepth groundwatertablechange floodheightmax floodloss floodduration
------------------------------ --------------------------- ------- -------------------------- ------------ --------------- --------------- ----------- ------------------------ ---------------- ----------- ---------------
Alnus incana Grauerle 1 not endangered Alpenvorland NoData NoData Nodata NoData 282 25.0 NoData
Carex sylvatica Wald Segge 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
carex acuta Schlanke Segge 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
circae lutetiana Grosses hexenkraut 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
clematis vitalba Gewoehnliche Waldrebe 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
fraxinus excelsior Gemeine Esche 1 not endangered Alpenvorland NoData 70 NoData NoData 340 25.0 45
Hydrocharis morsus ranae Froschbiss 1 pre warning Alpenvorland 20 40 NoData NoData NoData NoData NoData
Humulus lupulus Hopfen 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
Myricaria germanica Deutsche Tamariske 1 threatened with extinction Alpenvorland NoData 180 NoData NoData NoData NoData NoData
Phalaris arundinacea Rohrglanzgras 1 not endangered Alpenvorland NoData 130 NoData NoData NoData NoData NoData
Phragmites australis Schilfrohr 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
Populus nigra Schwarzpappel 1 endangered Alpenvorland NoData NoData NoData 50-280 160 NoData NoData
Populus alba Silberpappel 1 not endangered Alpenvorland NoData NoData NoData NoData 180 NoData NoData
Potamogeton pectinatus Kamm Laichkraut 1 not endangered Alpenvorland 20 350 NoData NoData NoData NoData NoData
Salix purpurea Purpur Weide 1 not endangered Alpenvorland NoData NoData NoData NoData 210 NoData 170
Salix alba Silber Weide 1 not endangered Alpenvorland NoData NoData NoData NoData 350 NoData 169
Salix fragilis Bruch Weide 1 not endangered Alpenvorland NoData NoData NoData 50-280 351 NoData 170
Salix eleagnos Lavendel Weide 1 pre warning Alpenvorland NoData NoData NoData NoData NoData NoData NoData
Solanum Dulcamara Bittersuesser Nachtschatten 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
Sparganium erectum Aestiger Igelkolben 1 not endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
Typha latifolia Breitblaettriger Rohrkolben 1 not endangered Alpenvorland NoData NoData NoData NoData 200 NoData NoData
Calamagrostis pseudophragmites Ufer Reitgras 1 strongly endangered Alpenvorland NoData NoData NoData NoData NoData NoData NoData
Status 1 equals nativ
Enter 1 if you want elevation data for the coordinates
Enter 2 if you dont want elevation data
Enter here:1
elevation = 647 m above sea level
coordinates out of
Oberrheinisches Tiefland
please check provided shapefile for suitable coordinates
coordinates out of
Niederrheinisches Tiefland
please check provided shapefile for suitable coordinates